Motion Object Video on Film Detection and Adaptive De-Interlace Method Based on Fuzzy Logic

1. A method comprising: using fuzzy logic to determine the ability of multiple de-interlacing operations to de-interlace image field data; and de-interlacing the image field data according to the fuzzy logic determination.

2. The method of claim 1 where the de-interlacing comprises de-interlacing the image field data according to the multiple de-interlacing operations; and blending the de-interlaced image field data from the multiple de-interlacing operations according to the fuzzy logic determination.

3. The method of claim 2 comprising determining a coefficient according to at least one fuzzy logic inference rule; and blending the de-interlaced image field data from the multiple de-interlacing operations according to the coefficient.

4. The method of claim 3 where the coefficient is determined according to classical logic rules and fuzzy logic inference rules.

5. The method of claim 1 where at least one of the de-interlacing operations is an interpolation operation or a merging operation.

6. The method of claim 5 where the interpolation operation is an intra-field interpolation, an inter-field interpolation, or both the intra-field interpolation and the inter-field interpolation.

7. The method of claim 1 where the image field data is a pixel within an image field; and using fuzzy logic to identify an image transition through the pixel.

8. The method of claim 7 where the direction of the image transition through the pixel corresponds to adjacent intra-field pixels.

9. The method of claim 7 where the image transition corresponds to an edge of a picture-in-picture application.

10. An apparatus including a computer-readable medium containing computer instructions that, when executed, cause a processor or multiple communicating processors to perform a method comprising: using fuzzy logic to determine the ability of multiple de-interlacing operations to de-interlace image field data; and de-interlacing the image field data according to the fuzzy logic determination.

11. The apparatus of claim 10 where the method comprises de-interlacing the image field data according to the multiple de-interlacing operations; and blending the de-interlaced image field data from the multiple de-interlacing operations according to the fuzzy logic determination.

12. The apparatus of claim 11 where the method comprises determining a coefficient according to at least one fuzzy logic inference rule; and blending the de-interlaced image field data from the multiple de-interlacing operations according to the coefficient.

13. The apparatus of claim 12 where the coefficient is determined according to classical logic rules and fuzzy logic inference rules.

14. The apparatus of claim 10 where at least one of the de-interlacing operations is an interpolation operation or a merging operation.

15. The apparatus of claim 14 where the interpolation operation is an intra-field interpolation, an inter-field interpolation, or both the intra-field interpolation and the inter-field interpolation.

16. The apparatus of claim 10 where the image field data is a pixel within an image field; and using fuzzy logic to identify an image transition through the pixel.

17. The apparatus of claim 16 where the direction of the image transition through the pixel corresponds to adjacent intra-field pixels.

18. The apparatus of claim 16 where the image transition corresponds to an edge of a picture-in-picture application.

19. A system comprising: a fuzzy logic unit to determine the ability of multiple de-interlacing operations to de-interlace image field data using fuzzy logic; and a selection unit to de-interlace the image field data according to the fuzzy logic determination.

20. The system of claim 19 where the selection unit comprises a plurality of de-interlacing units to perform de-interlacing operations on image field data; and an adaptive de-interlacer to blend the image field data from the de-interlacing units according to the fuzzy logic determination.

21. The system of claim 20 where the fuzzy logic unit is operable to determine a coefficient; and where the adaptive de-interlacer is operable to blend the image field data from the de-interlacing units according to the coefficient.

22. The system of claim 20 where the plurality of de-interlacing units include an interpolator to perform an interpolation de-interlacing operation on the image field data.

23. The system of claim 20 where the plurality of de-interlacing units include a merger to perform a merging de-interlacing operation on the image field data.

24. The system of claim 19 where the image field data is a pixel within an image field; and where the fuzzy logic unit is operable to identify an image transition through the pixel.

25. The system of claim 24 where the direction of the image transition through the pixel corresponds to adjacent intra-field pixels.

26. The system of claim 24 where the image transition corresponds to an edge of a picture-in-picture application.

27. A system comprising: means for determining the ability of multiple de-interlacing operations to de-interlace image field data using fuzzy logic; and means for de-interlacing the image field data according to the fuzzy logic determination.

28. The system of claim 27 comprising means for performing the de-interlacing operations on the image field data; and means for blending the de-interlaced image field data according to the fuzzy logic determination.

29. The system of claim 27 means for determining a coefficient; and means for blending the image field data according to the coefficient.